A Holistic Approach to Reference-Free Evaluation of Machine Translation (2023.acl-short)
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| Challenge: | Traditional machine translation evaluation relies on reference written by humans . reference-free evaluation gets rid of labor-intensive annotations, which can pivot easily to new domains . |
| Approach: | They propose a reference-free evaluation approach that characterizes evaluation as two aspects: fluency and faithfulness. |
| Outcome: | The proposed approach outperforms SOTA reference-fee metrics on machine translation datasets. |
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